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Sentiment Analysis Using Azure Text Analytics

Why Choose This Project?

Sentiment analysis is a powerful technique to extract opinions and emotions from textual data. With Azure Text Analytics, developers can easily perform AI-powered NLP tasks like sentiment detection, language detection, key phrase extraction, and entity recognition—without building or training any model.

This project is perfect for integrating AI into customer feedback systems, reviews analysis, support tickets, social media analytics, etc., using cloud-native services with no ML expertise required.

What You Get

Accurate sentiment classification: Positive, Neutral, Negative, Mixed
Multi-language support with automatic language detection
Key phrase extraction from input text
Confidence score for each sentiment detected
Simple REST API integration — works with any frontend
Enterprise-ready scalability and privacy via Azure compliance

Key Features

Feature	Description
Sentiment Detection	Classifies text into Positive, Neutral, Negative, or Mixed
Confidence Scores	Provides score for each sentiment category
Key Phrase Extraction	Identifies most important phrases in the text
Multilingual Support	Supports 90+ languages
Named Entity Recognition	Identifies entities like people, locations, orgs
Language Detection	Automatically detects the input language
Batch Input Support	Send multiple documents in a single request
Custom Text Analysis	Combine with other Azure AI services (e.g., Translation, Speech)
No ML Model Building	Uses Azure’s pre-trained AI models

Technology Stack

Layer	Technology
Frontend (optional)	HTML / React / Angular / Flutter
API Call	REST / Azure SDK (Python, Java, JS, etc.)
Backend (optional)	Node.js / Python / .NET Core / Spring Boot
AI/NLP Service	Azure Text Analytics API
Storage (optional)	Azure Blob Storage or Cosmos DB
Visualization	Power BI / Chart.js / D3.js (optional for insights dashboard)

Cloud Services Used

Azure Service	Purpose
Azure Text Analytics	Core NLP and sentiment analysis service
Azure Cognitive Services	AI platform hosting Text Analytics
Azure Functions / Logic Apps	Automate workflows for text processing (optional)
Azure App Service	Deploy web frontend/backend
Azure Key Vault	Secure API keys and secrets
Azure Monitor / App Insights	Logging, monitoring and diagnostics

Working Flow

Text Input Collected
- From feedback form, review box, chatbot, etc.
Request Sent to Azure API
- REST API or SDK sends text to Azure Text Analytics endpoint
Sentiment & Phrase Analysis
- Azure AI model processes the text and returns:
  - Overall sentiment
  - Confidence scores
  - Key phrases
  - Language
Result Display or Storage
- Frontend displays analysis
- Optionally store in database or visualize with charts
(Optional) Use results to:
- Trigger actions (e.g., escalate negative feedback)
- Visualize trends over time (Power BI)

Main Modules

Module	Description
Input Handler	Accepts text (feedback, review, message)
Azure Integration Module	Sends/receives data from Azure Text Analytics
Sentiment Processing	Parses API response to extract sentiment and phrases
UI Dashboard (optional)	Shows sentiment score, emojis, graphs
Storage Module (optional)	Logs sentiment data for analysis
Trigger/Automation (optional)	Alerts or emails for negative sentiment